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Paper Citation Record · LEDGER

RORem: Training a Robust Object Remover with Human-in-the-Loop

As of 11 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2501.00740.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.00740 v3

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:48:00.772229Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:46:31.497350Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T20:46:32.058015Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact1
  • verified fuzzy44
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ade9e33-732a-4e53-8c8c-582171fb0213 · outbound

This paper cites Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild.

RORem: Training a Robust Object Remover with Human-in-the-Loop Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild

Reference 1

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unresolved
no resolver link, observed 2026-08-10T22:48:00.501373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.501373Z digest=sha256:93f9521195ec1d4bb5633416149fb6caa4c8c201a7dd3db85c413c94c876eafb

Observation afaa7dc8-054d-4f59-a6eb-eb5cf02fc77c · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

RORem: Training a Robust Object Remover with Human-in-the-Loop Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.642588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 47e17870-6990-4113-8914-d7d24c49707c · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

RORem: Training a Robust Object Remover with Human-in-the-Loop Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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no resolver link, observed 2026-08-10T22:48:00.510376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.510376Z digest=sha256:3422849369dbe85a70d2f152f67a4f799325ae699023dd378e83a1a06381ec8c

Observation 7506a301-3338-45b3-a85f-14072f43b692 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

RORem: Training a Robust Object Remover with Human-in-the-Loop In- structpix2pix: Learning to follow image editing instructions

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.628410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.514762Z digest=sha256:b75fd3c92b96aacd6c95e74dc24c0618ac24924257d5c93c15ee398794976e67

Observation e7719c0c-3c51-47bc-8044-923cbd882555 · outbound

This paper cites Zits++: Im- age inpainting by improving the incremental transformer on structural priors.

RORem: Training a Robust Object Remover with Human-in-the-Loop Zits++: Im- age inpainting by improving the incremental transformer on structural priors

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.614837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.518540Z digest=sha256:5eca51c2ce7a697cb2f0737a146222dd2475204916f2a6fdc0d740c3d1adfcac

Observation b7bfcec2-7c34-4c79-9e65-25b818d7e1bc · outbound

This paper cites Re- gion filling and object removal by exemplar-based image in- painting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Re- gion filling and object removal by exemplar-based image in- painting

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.602382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.522447Z digest=sha256:2b02a7248eb50008eb5f0fa83d7dd66033a06a8e991985cc5601e7018933715e

Observation 24ee6c6e-c953-43f8-a372-4441ad9bad00 · outbound

This paper cites Incremental transformer structure enhanced image inpainting with mask- ing positional encoding.

RORem: Training a Robust Object Remover with Human-in-the-Loop Incremental transformer structure enhanced image inpainting with mask- ing positional encoding

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.591603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.527351Z digest=sha256:4de6f352e445f27e4e389edd16a792d3b06f76f76a2cee7ab1f38131273c4053

Observation a4b328c9-321b-4cbd-83e3-79eddddb7032 · outbound

This paper cites CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models.

RORem: Training a Robust Object Remover with Human-in-the-Loop CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models

Reference 8

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no resolver link, observed 2026-08-10T22:48:00.531794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.531794Z digest=sha256:3b57efa1066f8f6984abc46b51b89588ff20ac554c87136324cbd6ac424bf2c3

Observation 007f9493-5098-48a4-a2c0-a7685fabbe8e · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

RORem: Training a Robust Object Remover with Human-in-the-Loop Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.580796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.536727Z digest=sha256:53d2e5fad8c7ca8e338faa7a81ad68b1a3d265db02736d36a50c5394265b2a1a

Observation 2aa90b5c-6254-427f-8cac-0e9779ab6bb8 · outbound

This paper cites Instructdiffusion: A generalist modeling inter- face for vision tasks.

RORem: Training a Robust Object Remover with Human-in-the-Loop Instructdiffusion: A generalist modeling inter- face for vision tasks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.569020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.540559Z digest=sha256:3b3466adf209f4659c421f5ccbecc86495ee0699b8f95a972c01ed6e896071e9

Observation aa0695b7-46d8-4ca0-899d-7e3474b50307 · outbound

This paper cites Generative adversarial networks.

RORem: Training a Robust Object Remover with Human-in-the-Loop Generative adversarial networks

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.545008Z digest=sha256:c8f85e219cc64c22cd29cf08d2735a3fec13c15966d8d46bd4c0bebadf2ee6fd

Observation 95888f84-da83-41b1-84fd-ef46a543ccf5 · outbound

This paper cites Shadowd- iffusion: When degradation prior meets diffusion model for shadow removal.

RORem: Training a Robust Object Remover with Human-in-the-Loop Shadowd- iffusion: When degradation prior meets diffusion model for shadow removal

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.551685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.548925Z digest=sha256:cbc82b53bde344d2a328b8d278c01e8d0003019257fe227d019c1d2e38bc9856

Observation 02a51e0c-d257-4bbd-ac9c-782f826c87c4 · outbound

This paper cites Proxedit: Improving tuning-free real image editing with proximal guidance.

RORem: Training a Robust Object Remover with Human-in-the-Loop Proxedit: Improving tuning-free real image editing with proximal guidance

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.539952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.552478Z digest=sha256:58e30d40e9a71b41590ac4ae140214ac2d1e77976a5d5678b750d411f03e64fb

Observation a56eab56-25ab-4d98-b3bf-f54b07249336 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

RORem: Training a Robust Object Remover with Human-in-the-Loop Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 14

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no resolver link, observed 2026-08-10T22:48:00.555832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.555832Z digest=sha256:0f46c8446fd4a8171201f29e169dfefbec34acab67a911760b7b934aa17820d1

Observation eb2bb2a9-81dc-4107-8bca-62b92c6138ce · outbound

This paper cites Denoising dif- fusion probabilistic models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Denoising dif- fusion probabilistic models

Reference 15

Resolution
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no resolver link, observed 2026-08-10T22:48:00.559554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.559554Z digest=sha256:85cc3a5f9e0756d0c3cf182c111c9db3261e66652a8079ec558f6c12e019e43d

Observation 0206d90b-3195-40ff-9046-a5dc2b375b53 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

RORem: Training a Robust Object Remover with Human-in-the-Loop LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.563256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.563256Z digest=sha256:a422a2d71b6652dbee82e4c955b0731af024f483e1dbbf4ff432b5b7ab89824d

Observation 4d184e47-7f44-4cd8-8b6d-a7baf396e0c2 · outbound

This paper cites DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing.

RORem: Training a Robust Object Remover with Human-in-the-Loop DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.567667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.567667Z digest=sha256:e1cbab0ababb3f477a5511d72641b7be80fe4cd2ca979e6ec9ebd9a885b31e4b

Observation 629c5b17-79c0-4725-9a01-1a56b55d859d · outbound

This paper cites Segment any- thing.

RORem: Training a Robust Object Remover with Human-in-the-Loop Segment any- thing

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.571385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.571385Z digest=sha256:d740301dff703dd149f0b69ba7d124480adfba4bf54c76de48f23aa73179b20e

Observation 6bf65741-a716-48aa-9f4f-f027cff67365 · outbound

This paper cites Continuously masked transformer for image inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Continuously masked transformer for image inpainting

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.513801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6316a522-75b2-456b-a87e-a670408b7f95 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

RORem: Training a Robust Object Remover with Human-in-the-Loop The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.500371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.578341Z digest=sha256:6b717be8587dafbb632757db05d4995c310aff28f4fbd82ec4235ce832ac1ff5

Observation 6f85a6b2-410d-48ff-9d1c-8a9b7be6e147 · outbound

This paper cites Prior guided gan based semantic inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Prior guided gan based semantic inpainting

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.487807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.582073Z digest=sha256:1fb251b28d2d3783805234c888799384a63aca47090765fbbe8d0b3f8a50686d

Observation 0e7d2f30-f7c9-42db-8057-c4409645b975 · outbound

This paper cites Rgbd2: Generative scene synthesis via incremental view inpainting using rgbd diffusion models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Rgbd2: Generative scene synthesis via incremental view inpainting using rgbd diffusion models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.473420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.585537Z digest=sha256:4b55f4b0364259c2c048f60679fcfbb58ee39025683a1f0c866ea9fca6cebfa5

Observation d963eed7-7a9d-4a23-844a-d09a8c678397 · outbound

This paper cites Recurrent feature reasoning for image inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Recurrent feature reasoning for image inpainting

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.457637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.588788Z digest=sha256:9db0c7f1253a36c3b58cd5c20ee32a62cd0577fbeb2e93c4d8f1b48d9dc38e11

Observation 3a501b79-8e81-4663-b6af-aab1a9f4b140 · outbound

This paper cites FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model.

RORem: Training a Robust Object Remover with Human-in-the-Loop FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:48:00.907362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.592349Z digest=sha256:29c32cadffc4072672cf994aff3b7fddb6e4218a9775cde49687e3d5aec0cc35

Observation 541dc850-8760-4efc-bc06-7103f157e04d · outbound

This paper cites Source prompt disentangled inversion for boosting image editability with diffusion models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Source prompt disentangled inversion for boosting image editability with diffusion models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.443918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.595853Z digest=sha256:823aab1c003dd02748f5fcbd8d5ca590c2092ba94644b3e1642c67a89d9e89ce

Observation ef66122c-0d6e-438b-bab8-4b9a4829e199 · outbound

This paper cites Mat: Mask-aware transformer for large hole im- age inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Mat: Mask-aware transformer for large hole im- age inpainting

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.429034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.598984Z digest=sha256:091b91db092da1c012419b62e5abd94d95ce7f9cac14c1f6d7e9505c2c866a4a

Observation 6656de4a-cc36-4850-bc91-c696c9292224 · outbound

This paper cites Cv2 dilate function, 2024.

RORem: Training a Robust Object Remover with Human-in-the-Loop Cv2 dilate function, 2024

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.414637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.602202Z digest=sha256:88792222039bf04e3f0379c24d6bde7ccef48918cf9b44179632642dfff95b11

Observation c31e14e8-84d7-48de-9a47-c679bed08ab9 · outbound

This paper cites Microsoft coco: Common objects in context.

RORem: Training a Robust Object Remover with Human-in-the-Loop Microsoft coco: Common objects in context

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.605939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.605939Z digest=sha256:7ed71b7ab1b94673b06f3202e81ed222c9c42d2b765d71615f3df03399dfe725

Observation 6b8bb925-1cef-490a-8056-d16c268a0830 · outbound

This paper cites Image inpainting for ir- regular holes using partial convolutions.

RORem: Training a Robust Object Remover with Human-in-the-Loop Image inpainting for ir- regular holes using partial convolutions

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.392065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.609356Z digest=sha256:fb7d0fe9a1c7afa3a1bfc2e5094c083dcbd02b1a12602a1c50b238622e5bef15

Observation 538d9bcc-b888-4788-92c8-b00f966f32e2 · outbound

This paper cites Coherent semantic attention for image inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Coherent semantic attention for image inpainting

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.377673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.612742Z digest=sha256:9cd38c181bb62cf57ecced3b1cb76ccbdbb63efef8f1c889876eb74805c1e66a

Observation 19b21028-14e5-4100-80f8-6a15036c9605 · outbound

This paper cites Rethinking image inpainting via a mutual encoder- decoder with feature equalizations.

RORem: Training a Robust Object Remover with Human-in-the-Loop Rethinking image inpainting via a mutual encoder- decoder with feature equalizations

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.365542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.616384Z digest=sha256:2dfbafff28d21808966b34e904e7c2055146b4169e3249e0c1441ea9e94ca2fb

Observation 04e8081e-4f29-4e33-9ada-fee60395dfcf · outbound

This paper cites Pd-gan: Probabilistic diverse gan for image inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Pd-gan: Probabilistic diverse gan for image inpainting

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.351090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.620352Z digest=sha256:8ff71d1e23c82b7f0d65bb6651389bd632a4338f2cfaab65914162f007232d46

Observation 2c25871c-1e9f-497c-9db6-0bc53620bd9a · outbound

This paper cites Visual instruction tuning.

RORem: Training a Robust Object Remover with Human-in-the-Loop Visual instruction tuning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.623987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.623987Z digest=sha256:cd0ff625c464c5a435bbb3c82bcd1a35c83ff5609580e926125237f23ec36b39

Observation 4fbe04a9-d27c-4e7b-8d9a-3320b8d6060a · outbound

This paper cites Decoupled Weight Decay Regularization.

RORem: Training a Robust Object Remover with Human-in-the-Loop Decoupled Weight Decay Regularization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.627577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.627577Z digest=sha256:58778257fd27ce50b8f9eab193fddecec4a91ed053862097ac462d6a15420945

Observation 3f02929e-12a9-4b0d-a4d8-efd9b7cc827f · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Repaint: Inpainting using denoising diffusion probabilistic models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.323923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.632177Z digest=sha256:186b7708279d1d891183589e058b0bdc55a6e9188b8228eb142087f75e40f363

Observation 1954a145-0434-44f4-852a-be275ab4b57b · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

RORem: Training a Robust Object Remover with Human-in-the-Loop Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.636038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.636038Z digest=sha256:16aef59a65c73b734a8cadd616e9c835e298fa876525e39cc9d7f74c2f994896

Observation 7cd9cf7b-9cd5-4102-94ec-fa92dc710add · outbound

This paper cites Regionwise gen- erative adversarial image inpainting for large missing areas.

RORem: Training a Robust Object Remover with Human-in-the-Loop Regionwise gen- erative adversarial image inpainting for large missing areas

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.310902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.639835Z digest=sha256:c310d25ad3d2e7eb275cb00168f7e78c8f18ef577d5ab160b57bdec61a39f859

Observation f1e28060-1800-484f-a070-cfab7945defc · outbound

This paper cites Defacto: Image and face manipulation dataset.

RORem: Training a Robust Object Remover with Human-in-the-Loop Defacto: Image and face manipulation dataset

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.298048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.643820Z digest=sha256:83e2dd3839649a00a8895ad36a1c5db6c703fbdda4d1120f1fec6b38a7f394b9

Observation dfb07285-deb0-4ef4-8553-b78f2376bef7 · outbound

This paper cites Null-text Inversion for Editing Real Images using Guided Diffusion Models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Null-text Inversion for Editing Real Images using Guided Diffusion Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.647627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.647627Z digest=sha256:0b684465196d1fb2fd37290a2bc2f046f5493935121bd530206967637e9b0548

Observation 0de8b713-4f29-4f74-9586-a00738a48967 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

RORem: Training a Robust Object Remover with Human-in-the-Loop DINOv2: Learning Robust Visual Features without Supervision

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.652162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.652162Z digest=sha256:1ab65a81c8f6ed1cbec28c4726c33a08d918aba08260494f2b65d07cc028b10a

Observation 732e638f-b3aa-4817-815b-9d11db1fe68d · outbound

This paper cites Context encoders: Feature learning by inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Context encoders: Feature learning by inpainting

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.286556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.656325Z digest=sha256:3ba3e7c1ea05eb528cc5b49239cf6cd3a955eba7f57048734067302573df73e6

Observation 01ba17ef-1307-40a1-af40-4d4a9d26ddc6 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

RORem: Training a Robust Object Remover with Human-in-the-Loop SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.660236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.660236Z digest=sha256:2d6d4596d29e545471c8f5e54d14d7b5476c9a5477f4578fe3ba43e148780a2c

Observation 95afd419-f875-4a06-8e9c-7be01f0cc399 · outbound

This paper cites Deep learning-based image and video inpainting: A survey.

RORem: Training a Robust Object Remover with Human-in-the-Loop Deep learning-based image and video inpainting: A survey

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.273457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.664164Z digest=sha256:eb5001205c664673d8f3aa108e34cd2bacadbe70246372c71eaf0f3cf866de8e

Observation 7ab895d4-bf47-4419-82a9-8a8af50862cf · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

RORem: Training a Robust Object Remover with Human-in-the-Loop Learning transferable visual models from natural language supervi- sion

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.667662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.667662Z digest=sha256:77543669e93a3d9c6f128138ff297a5b92ffae1edbaae35269546689a72b3919

Observation 9911b9c4-22a3-4fa9-94a1-20dbb3de07cc · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

RORem: Training a Robust Object Remover with Human-in-the-Loop High-resolution image synthesis with latent diffusion models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.671034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.671034Z digest=sha256:a7bd3511f109106117651b2e9f035ffdda90aedebae8c6bfeef5355ccbaaa90b

Observation fc018705-6e85-4a46-b94a-2f5bcb39945f · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

RORem: Training a Robust Object Remover with Human-in-the-Loop U- net: Convolutional networks for biomedical image segmen- tation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.674471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.674471Z digest=sha256:1d1c71c77892a70c4d58f666710808db6fe44557a5d5f49aa0b5093c9be3068c

Observation b3edb24d-34aa-4374-aba8-715978ccb34c · outbound

This paper cites Rord: A real-world object removal dataset.

RORem: Training a Robust Object Remover with Human-in-the-Loop Rord: A real-world object removal dataset

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.237628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.678129Z digest=sha256:4f53ae82b3574feebf9e5040a83863a7e211fe574db24f95fee4be782686bb8b

Observation 9023ee45-7adc-4288-b6a6-d0e19d739576 · outbound

This paper cites Palette: Image-to-image diffusion models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Palette: Image-to-image diffusion models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.682417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.682417Z digest=sha256:bd7ec2179bf7d2759e5bdfa4556057ce2cd46d30197dcc473fc8a7f10402f40e

Observation fc8ed136-44ff-4f92-a7f4-67e78a382dd0 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.216095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.685841Z digest=sha256:d0e822b6f6365732bc7d1830c853b22789c00437564f65357bbd0580485bc52c

Observation 6185f06a-b596-42fb-ad55-5ecb9890f0ec · outbound

This paper cites Transinpaint: Transformer-based image inpainting with context adaptation.

RORem: Training a Robust Object Remover with Human-in-the-Loop Transinpaint: Transformer-based image inpainting with context adaptation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.204583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.689338Z digest=sha256:b66f23cab79a3c5415f748673682ed4705d3ae1e4128bab331d2e08ba63771d2

Observation 901db4d7-4012-491a-bc71-52b88c1df08d · outbound

This paper cites Emu edit: Precise image editing via recognition and gen- eration tasks.

RORem: Training a Robust Object Remover with Human-in-the-Loop Emu edit: Precise image editing via recognition and gen- eration tasks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.189969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.693036Z digest=sha256:3a8124d4dee10382e6b9d4164e50a2057e20ba4d6e57355aab2ca6217e8b53e9

Observation 4b15b5ad-a77d-4796-bf28-1d3159a77b2f · outbound

This paper cites Denoising Diffusion Implicit Models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Denoising Diffusion Implicit Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.696446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.696446Z digest=sha256:edd58b93aeb3655f86578ec9d49163748ec98224cebc86cc6e2dc8cfba91b916

Observation 6db4c776-91c7-45a0-80eb-ab9dd8660ebe · outbound

This paper cites Contextual-based image inpainting: Infer, match, and translate.

RORem: Training a Robust Object Remover with Human-in-the-Loop Contextual-based image inpainting: Infer, match, and translate

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.177111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.699914Z digest=sha256:dcf3748263568e6a562dfde469d3733747dbd1fc58608a2ec39914e6b8d7160e

Observation 2ca0f5c3-e7a7-408b-8d28-96145864de70 · outbound

This paper cites Resolution-robust large mask inpainting with fourier convolutions.

RORem: Training a Robust Object Remover with Human-in-the-Loop Resolution-robust large mask inpainting with fourier convolutions

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.165321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.703220Z digest=sha256:d1c520bfa67d96b817e0f7d355933063df0f60d7bd3d157f4573e09df1c42b47

Observation e4c5a454-33fa-4209-a6b0-3f24ee98c94f · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

RORem: Training a Robust Object Remover with Human-in-the-Loop Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.152403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.706573Z digest=sha256:6d286df0f9bcff25cf0db648157d4aa22cc6e03934b8e41b8ee816e515bcd2d6

Observation ee5c5849-af58-4dcf-9465-91245d662830 · outbound

This paper cites Mulan: A multi layer anno- tated dataset for controllable text-to-image generation.

RORem: Training a Robust Object Remover with Human-in-the-Loop Mulan: A multi layer anno- tated dataset for controllable text-to-image generation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.135908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.710146Z digest=sha256:641cf4f07bd37454e9d3d692da528b2bca45fc1dc3be4e77f133da5040363804

Observation 26bc7893-22d4-493f-962a-bec6be27496a · outbound

This paper cites Perceptual adversarial networks for image-to-image 11 transformation.

RORem: Training a Robust Object Remover with Human-in-the-Loop Perceptual adversarial networks for image-to-image 11 transformation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.122549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.713405Z digest=sha256:a78a1f9dce5db8128d9514b339adac0ba575b2e6e8aff82e40b0fac618390c38

Observation 6e0d212e-f94b-4409-932a-8e4460e8b06b · outbound

This paper cites Imagen editor and editbench: Advancing and evaluating text-guided im- age inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Imagen editor and editbench: Advancing and evaluating text-guided im- age inpainting

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.717071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.717071Z digest=sha256:2da518e80415c5d2ba10d43800944f40e01bb3cbca34cea6d9614607f532c382

Observation 89024d55-c4fc-4b04-9a85-0354fa1949e8 · outbound

This paper cites ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion.

RORem: Training a Robust Object Remover with Human-in-the-Loop ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.721012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.721012Z digest=sha256:d7c549a31b6f377d37819881b93b7ed9571af4e20a380b3f1c09248880bba1f6

Observation 435d9248-421c-4c29-b2cc-c151768f4778 · outbound

This paper cites Smartbrush: Text and shape guided object inpainting with diffusion model.

RORem: Training a Robust Object Remover with Human-in-the-Loop Smartbrush: Text and shape guided object inpainting with diffusion model

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.103295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.726231Z digest=sha256:2072933fe2b68125d947b2e300e7f5934ccaeedc5420c93835e18804f05ace82

Observation 7f6f9200-8d0f-4521-8467-135f1549ab6a · outbound

This paper cites Shift-net: Image inpainting via deep feature rearrangement.

RORem: Training a Robust Object Remover with Human-in-the-Loop Shift-net: Image inpainting via deep feature rearrangement

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.091707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.730494Z digest=sha256:eb315d78d9fca8d26e04d31b3eaee0bd1bc6f56a0ccc3459421c105da1615fc3

Observation 19433557-b8a3-4df5-92ee-c2e0c721eab4 · outbound

This paper cites High-resolution image inpainting using multi- scale neural patch synthesis.

RORem: Training a Robust Object Remover with Human-in-the-Loop High-resolution image inpainting using multi- scale neural patch synthesis

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.079335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.734228Z digest=sha256:14259751ea6d70e1fdee3b0bfe323686bb09e0182fd8c72d182328b4b1ffed58

Observation 3cd7d9e3-110e-450a-9c81-ed63af638ccd · outbound

This paper cites Se- mantic image inpainting with deep generative models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Se- mantic image inpainting with deep generative models

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.067057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.738959Z digest=sha256:a65700f00c2c2504ca72961f1f168ff138c12927f3982f03f4e80d9710a3ac5d

Observation 7f40c81d-ae96-4ef7-a109-55ce51d12746 · outbound

This paper cites Inst-Inpaint: Instructing to Remove Objects with Diffusion Models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Inst-Inpaint: Instructing to Remove Objects with Diffusion Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.743155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.743155Z digest=sha256:dc77b3ea3c0b424b9ed44c48a7ca3b843ba79b9bc9c1b9fda16638c932f62340

Observation 92f2c875-3920-43bd-9170-b3c0139bcbd1 · outbound

This paper cites Generative image inpainting with con- textual attention.

RORem: Training a Robust Object Remover with Human-in-the-Loop Generative image inpainting with con- textual attention

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.747108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.747108Z digest=sha256:0b932ce7538233bc3666df998e3294869519a2de0285b9dcf30cb14799972c6a

Observation bf8b0854-5137-4419-8712-2b8f98e23493 · outbound

This paper cites Diverse image inpainting with bidirec- tional and autoregressive transformers.

RORem: Training a Robust Object Remover with Human-in-the-Loop Diverse image inpainting with bidirec- tional and autoregressive transformers

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.046813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.750898Z digest=sha256:e04b9f3a9ec61b357aa78b85bad7670777c633f0563d76da56669ec4fc524749

Observation 2bd300b9-81d0-4626-9dc8-8ec910f91d64 · outbound

This paper cites Learning pyramid-context encoder network for high- quality image inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Learning pyramid-context encoder network for high- quality image inpainting

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.032770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.754318Z digest=sha256:2d5a4ba4ef16142423479845e02cc6ea281a3acd0c6ba8e1df3f3bd4ebcac8d0

Observation c01cbd05-547a-4681-be0a-e3f70661913b · outbound

This paper cites Learning joint spatial-temporal transformations for video inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Learning joint spatial-temporal transformations for video inpainting

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.020908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.757463Z digest=sha256:3892bab7dd0ed020990109baf71d70d64a819ece2658d130c080c776427debe2

Observation 58016d04-bd75-4da2-a431-fdcf495486ee · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

RORem: Training a Robust Object Remover with Human-in-the-Loop The unreasonable effectiveness of deep features as a perceptual metric

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.760946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.760946Z digest=sha256:abd8c9cd54c57dc3a8d74d3a78536b2f2b80f0802a594ca9549a012c954987ab

Observation 89ec0eb6-67ec-41df-b64f-c715dcdd6e99 · outbound

This paper cites Hive: Harnessing human feedback for instructional visual editing.

RORem: Training a Robust Object Remover with Human-in-the-Loop Hive: Harnessing human feedback for instructional visual editing

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.001154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.764423Z digest=sha256:a42ce9660b589c6510d26340679e7f3ed4774b151fc03825861370cef1bffd41

Observation 2ae779c9-4d15-443b-8f33-9cdb03950a4a · outbound

This paper cites Propainter: Improving propagation and transformer for video inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Propainter: Improving propagation and transformer for video inpainting

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:00.988718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.767945Z digest=sha256:2d33a5e2e22cf2e3f8f8919d39a8f4d27199ad774e4eb6274739a9d49f33172d

Observation 725dd121-97d2-4811-8086-ab8445f681d7 · outbound

This paper cites A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.772229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.772229Z digest=sha256:5c3577f4923c39663e6c69949feb649eb7884d3342d6e7112f1e0597bbc6f172

Pith citing papers

Observation 04e71061-9389-46ed-8d80-078b050353e9 · inbound

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data cites this paper.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data RORem: Training a Robust Object Remover with Human-in-the-Loop

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:46:32.066568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:46:31.497350Z digest=sha256:795e871978bdd4e7910820a754f4257d9c8d44e79e711e166d7f01f6327140f3